10/22/2023 0 Comments Coefficient diagnostics eviews 9![]() Most data analysts know that multicollinearity is not a good thing. It occurs when there are high correlations among predictor variables, leading to unreliable and unstable estimates of regression coefficients. Multicollinearity is a common problem when estimating linear or generalized linear models, including logistic regression and Cox regression. When Can You Safely Ignore Multicollinearity? SeptemBy Paul Allison
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